Advanced AI Engr

Honeywell's Value Engineering (VE) and Component Engineering (CE) Center of Excellence (COE) is a dynamic collective of professionals dedicated to refining product development through innovative engineering and strategic component selection.

You will be part of Honeywell's VE/CE CoE Advanced Tech team with focus on developing and deploying Gen AI, data science, visualization offerings to exceed VECE revenue targets.

YOU MUST HAVE:

• Bachelor’s / master’s degree in engineering, Applied Mathematics or related field
• 5 or more years of relevant experience in Data Science and analytics
• Have worked on 4+ production grade data analytics applications
• Strong expertise in scripting and querying languages, such as Python, R, SQL
• Demonstrated experience in popular Python and R packages like Sci Kit, Tensor Flow, Pytorch, Dash, Shiny etc
• Experience in building AI agent frameworks like Lang Chain, Lang Graph and LLM models like Gemini, GPT-4, Llama
• Strong knowledge in 1-2 SQL databases and No-Sql databases
• Working knowledge in data warehouse platforms (Snowflake)
• Strong knowledge of data structures, algorithms, and software engineering principles.
• Strong analytics skills: ability to assess data, drive insights, and make recommendations.
• Experience in using data integration tools for ETL processes
• Experience in CI/CD & Dev Ops & ML Ops Process
• Experience with both Structured and Unstructured data
• Experience in Deep Learning and classical Machine Learning

NICE TO HAVE

• Experience in Google Vertex AI and GCP services
• Experience working with Apache Spark, Azure, Hadoop, etc.
• Knowledge of Agile development methodology
• Working knowledge in visualization and reporting tools like Tableau, Power BI
• Exposure to Database schema design and ETL tools
• Exposure to enterprise tools like SAP, SFDC, Teamcenter etc.

Key Responsibilities:

• Understand Business problem and formulate into appropriate AI / ML model.
• Build Visualizations to develop compelling stories & Insights from data
• Clean and preprocess large volume of data
• Implement Analytics & Dashboards solutions for VE/CE COE
• Develop ML/AI Models to analyze and mine large amount of Data.
• Develop scripts to automate and deploy Production ready ML solutions.
• Trouble shooting, Packaging and maintenance of ML solutions.